CN108845204B - Power utilization equipment fault diagnosis system and diagnosis method thereof - Google Patents
Power utilization equipment fault diagnosis system and diagnosis method thereof Download PDFInfo
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- CN108845204B CN108845204B CN201810645823.8A CN201810645823A CN108845204B CN 108845204 B CN108845204 B CN 108845204B CN 201810645823 A CN201810645823 A CN 201810645823A CN 108845204 B CN108845204 B CN 108845204B
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Abstract
The invention discloses a fault diagnosis system and a fault diagnosis method for electric equipment. The power consumption equipment fault diagnosis system comprises a first access end, a second access end and a control module. The first access end is coupled with a live wire of the power grid, and the second access end is coupled with a zero line of the power grid. And the input end of the control module is connected with the second access end. The control module includes a frequency analysis unit and a waveform analysis unit. The invention discloses a fault diagnosis system and a fault diagnosis method for electric equipment, wherein a first access section and a second access section are selectively coupled to a live wire or a zero wire of a power grid, and an electric energy signal of the power grid is acquired and analyzed through a frequency analysis unit and a waveform analysis unit of a control module so as to calculate and obtain the relative distance of a fault point relative to a reference point, thereby accurately positioning the actual position of the electric equipment with a fault at the first time and further greatly improving the fault removal efficiency.
Description
Technical Field
The invention belongs to the technical field of power failure diagnosis, and particularly relates to a power utilization equipment failure diagnosis system and a power utilization equipment failure diagnosis method.
Background
In order to ensure long-term reliable operation of the electric equipment, periodic fault detection of the electric equipment is required. In case of an abnormal fluctuation of the grid, it is very likely to mean that at least one electrical consumer is malfunctioning. At the moment, the operation such as power grid cutting and the like must be timely and accurately carried out according to the severity. Meanwhile, the fault position of the electric equipment needs to be accurately positioned so as to investigate the fault reason.
However, in the actual situation, the power grid environment is complicated, it is difficult to accurately locate the actual position of the faulty electrical device in the first time, which is inconvenient to remove the fault.
Disclosure of Invention
The present invention overcomes the above-mentioned drawbacks and provides a power consumption equipment fault diagnosis system and a power consumption equipment fault diagnosis method.
The invention adopts the following technical scheme that the power utilization equipment fault diagnosis system comprises a first access end, a second access end and a control module, wherein:
the first access end is coupled with a live wire of a power grid, and the second access end is coupled with a zero line of the power grid;
the input end of the control module is connected with the second access end;
the control module comprises a frequency analysis unit and a waveform analysis unit, wherein the frequency analysis unit and the waveform analysis unit simultaneously acquire electric energy signals of a power grid from input ends, and the frequency analysis unit and the waveform analysis unit simultaneously analyze and output the frequency signals and the waveform signals independently according to the electric energy signals.
According to the technical scheme, the first access end comprises a first magnetic core and a first wire wound on the first magnetic core, the live wire of the power grid is penetrated through the first magnetic core, the second access end comprises a second magnetic core and a second wire wound on the second magnetic core, the zero wire of the power grid is penetrated through the second magnetic core, and the two ends of the second wire are simultaneously connected with the input end of the control module.
According to the technical proposal, the device comprises a base,
the frequency analysis unit is preset with a standard frequency signal, compares the frequency signal with the preset standard frequency signal in real time, is preset with a deviation amplitude threshold value of the frequency signal, judges the deviation amplitude between the frequency signal output by the frequency analysis unit and the preset standard frequency signal in real time, and simultaneously outputs a frequency early warning signal when the deviation amplitude of the frequency signal is equal to or higher than the preset deviation amplitude threshold value;
the waveform analysis unit is preset with a standard waveform signal, compares the waveform signal with the preset standard waveform signal in real time, presets the deviation amplitude of the waveform signal, judges the deviation amplitude between the waveform signal output by the waveform analysis unit and the preset standard waveform signal in real time, and simultaneously outputs a waveform early warning signal when the deviation amplitude of the waveform signal is equal to or higher than a preset deviation amplitude threshold value.
The invention also discloses a fault diagnosis method for the electric equipment, which comprises the following steps:
step S1: the first access end is coupled with a live wire of a power grid, and the second access end is coupled with a zero line of the power grid;
step S2: the input end of the control module is connected with the second access end;
step S3: the frequency analysis unit and the waveform analysis unit of the control module simultaneously acquire an electric energy signal of a power grid from an input end;
step S4: the frequency analysis unit and the waveform analysis unit simultaneously analyze and output a frequency signal and a waveform signal independently of each other based on the electric energy signal.
According to the above technical solution, the power consumption equipment fault diagnosis method further includes step S5, where the step S5 is located after step S4:
step S5: the frequency analysis unit is preset with a standard frequency signal, and compares the frequency signal with the preset standard frequency signal in real time.
According to the above technical solution, the step S5 further includes a step S5.1 and a step S5.2:
step S5.1: the frequency analysis unit is preset with a deviation amplitude threshold value of the frequency signal, and judges the deviation amplitude between the frequency signal output by the frequency analysis unit and a preset standard frequency signal in real time;
step S5.2: and when the deviation amplitude of the frequency signal is equal to or higher than a preset deviation amplitude threshold value, the frequency analysis unit simultaneously outputs a frequency early warning signal.
According to the above technical solution, the power consumption equipment fault diagnosis method further includes step S6, where the step S6 is located after step S5:
step S6: the waveform analysis unit is preset with a standard waveform signal, and compares the waveform signal with the preset standard waveform signal in real time.
According to the above technical solution, the step S6 further includes a step S6.1 and a step S6.2:
step S6.1: the waveform analysis unit is preset with deviation amplitude presetting of a waveform signal, and judges the deviation amplitude between the waveform signal output by the waveform analysis unit and a preset standard waveform signal in real time;
step S6.2: and when the deviation amplitude of the waveform signal is equal to or higher than a preset deviation amplitude threshold value, the waveform analysis unit simultaneously outputs a waveform early warning signal.
According to the above technical solution, the power consumption equipment fault diagnosis method further includes step S7, where the step S7 is located after step S6:
step S7: the control module simultaneously acquires the frequency early warning signal and the waveform early warning signal, and calculates the relative distance between the fault point and a reference point according to the frequency early warning signal and the waveform early warning signal.
According to the above technical solution, in step S1, the first input end includes a first magnetic core and a first conductive wire wound around the first magnetic core, and the live wire of the power grid penetrates through the first magnetic core; in step S1, the second input end includes a second magnetic core and a second conductive wire wound around the second magnetic core, the zero line of the power grid runs through the second magnetic core, and two ends of the second conductive wire are simultaneously connected to the input end of the control module.
The power equipment fault diagnosis system and the power equipment fault diagnosis method have the advantages that the first access section and the second access section are selectively coupled to a live wire or a zero line of a power grid, and electric energy signals of the power grid are obtained and analyzed through the frequency analysis unit and the waveform analysis unit of the control module, so that the relative distance of a fault point relative to a reference point is calculated, the actual position of power equipment with faults is accurately positioned at the first time, and the fault removal efficiency is greatly improved.
Drawings
Fig. 1 is a schematic diagram of the system architecture of the preferred embodiment of the present invention.
The reference numerals include: 10-a first access end; 11-a first magnetic core; 12-a first wire; 20-a second access end; 21-a second magnetic core; 22-a second wire; 100-a control module; 110-a frequency analysis unit; 120-waveform analysis unit.
Detailed Description
The invention discloses a fault diagnosis system and a fault diagnosis method for electric equipment, and the specific implementation mode of the invention is further described below by combining with the preferred embodiment.
Referring to fig. 1 of the drawings, fig. 1 shows a system structure of the electric device fault diagnosis system and the electric device fault diagnosis method.
Preferably, the electrical equipment fault diagnosis system comprises a first access terminal 10, a second access terminal 20 and a control module 100, wherein:
the first access terminal 10 is coupled to the live line (L) of the grid, and the second access terminal 20 is coupled to the neutral line (N) of the grid;
the input end of the control module 100 is connected to the second access end 20;
the control module 100 includes a frequency analysis unit 110 and a waveform analysis unit 120, the frequency analysis unit 110 and the waveform analysis unit 120 simultaneously obtain an electric energy signal of a power grid from an input end, and the frequency analysis unit 110 and the waveform analysis unit 120 simultaneously analyze and output the frequency signal and the waveform signal independently from each other according to the electric energy signal.
Preferably, the first access terminal 10 includes a first magnetic core 11 and a first wire 12 wound around the first magnetic core 11, and the live wire of the power grid passes through the first magnetic core 11.
Preferably, the second access terminal 20 includes a second magnetic core 21 and a second conducting wire 22 wound around the second magnetic core 21, the zero line of the power grid passes through the second magnetic core 21, and two ends of the second conducting wire 22 are simultaneously connected to the input terminal of the control module 100.
Further, the frequency analysis unit 110 is preset with a standard frequency signal, and the frequency analysis unit 110 compares the frequency signal with the preset standard frequency signal in real time.
Further, the frequency analysis unit 110 presets a deviation amplitude threshold of the frequency signal, the frequency analysis unit 110 determines in real time a deviation amplitude between the frequency signal output by the frequency analysis unit and a preset standard frequency signal, and when the deviation amplitude of the frequency signal is equal to or higher than the preset deviation amplitude threshold, the frequency analysis unit 110 outputs a frequency warning signal at the same time.
Further, the waveform analysis unit 120 is preset with a standard waveform signal, and the waveform analysis unit 120 compares the waveform signal with the preset standard waveform signal in real time.
Further, the waveform analysis unit 120 presets a deviation amplitude of the waveform signal, the waveform analysis unit 120 determines a deviation amplitude between the waveform signal output by the waveform analysis unit 120 and a preset standard waveform signal in real time, and when the deviation amplitude of the waveform signal is equal to or higher than a preset deviation amplitude threshold, the waveform analysis unit 120 outputs a waveform warning signal at the same time.
Further, the control module 100 obtains the frequency early warning signal and the waveform early warning signal at the same time, and calculates a relative distance between a fault point and a reference point according to the frequency early warning signal and the waveform early warning signal, so as to accurately locate the actual position of the electrical equipment with the fault at the first time, thereby greatly improving the fault removal efficiency. The method avoids wasting precious time on positioning fault points, gains time for fault elimination, and avoids the fluctuation spread of the power grid as much as possible.
According to the above preferred embodiment, the present patent application further discloses a first modified embodiment of the power consumption equipment fault diagnosis system, which is basically the same as the preferred embodiment, except that, on the basis of the preferred embodiment, both ends of the first conductor 12 of the first access terminal 10 are simultaneously connected to the input terminal of the control module 100. In other words, in the first variant embodiment, the first and second conductors 12, 22 of the first and second access terminals 10,20 are accessed to the first and second input terminals (not shown in the figures) of the control module 100 independently of each other. The frequency analysis unit 110 and the waveform analysis unit 120 simultaneously obtain the power signals of the live wire and the neutral wire of the power grid from the first and the second input ends, and the frequency analysis unit 110 and the waveform analysis unit 120 simultaneously analyze and output the frequency signal and the waveform signal independently from each other according to the power signals.
The invention also discloses a fault diagnosis method for the electric equipment, which comprises the following steps:
step S1: the first access terminal 10 is coupled to the live line (L) of the grid and the second access terminal 20 is coupled to the neutral line (N) of the grid;
step S2: the input end of the control module 100 is connected to the second access end 20;
step S3: the frequency analysis unit 110 and the waveform analysis unit 120 of the control module 100 simultaneously obtain the power signal of the power grid from the input end;
step S4: the frequency analyzing unit 110 and the waveform analyzing unit 120 simultaneously analyze and output a frequency signal and a waveform signal independently of each other according to the above-mentioned power signal.
In step S1, the first input terminal 10 includes a first magnetic core 11 and a first conductive wire 12 wound around the first magnetic core 11, and the live wire of the power grid passes through the first magnetic core 11.
In step S1, the second input terminal 20 includes a second magnetic core 21 and a second conductive wire 22 wound around the second magnetic core 21, the zero line of the power grid passes through the second magnetic core 21, and two ends of the second conductive wire 22 are simultaneously connected to the input terminal of the control module 100.
Further, the method for diagnosing the fault of the electric equipment further comprises a step S5, wherein the step S5 is located after the step S4:
step S5: the frequency analysis unit 110 is preset with a standard frequency signal, and the frequency analysis unit 110 compares the frequency signal with the preset standard frequency signal in real time.
Further, step S5 includes step S5.1 and step S5.2:
step S5.1: the frequency analysis unit 110 presets a deviation amplitude threshold of the frequency signal, and the frequency analysis unit 110 judges the deviation amplitude between the frequency signal output by the frequency analysis unit and a preset standard frequency signal in real time;
step S5.2: when the deviation amplitude of the frequency signal is equal to or higher than a preset deviation amplitude threshold value, the frequency analysis unit 110 simultaneously outputs a frequency warning signal.
Further, the method for diagnosing the fault of the electric equipment further comprises a step S6, wherein the step S6 is located after the step S5:
step S6: the waveform analysis unit 120 is preset with a standard waveform signal, and the waveform analysis unit 120 compares the waveform signal with the preset standard waveform signal in real time.
Further, step S6 includes step S6.1 and step S6.2:
step S6.1: the waveform analysis unit 120 presets deviation amplitude presetting of a waveform signal, and the waveform analysis unit 120 judges the deviation amplitude between the waveform signal output by the waveform analysis unit and a preset standard waveform signal in real time;
step S6.2: when the deviation amplitude of the waveform signal is equal to or higher than a preset deviation amplitude threshold, the waveform analysis unit 120 simultaneously outputs a waveform warning signal.
Further, the method for diagnosing the fault of the electric equipment further comprises a step S7, wherein the step S7 is located after the step S6:
step S7: the control module 100 obtains the frequency early warning signal and the waveform early warning signal at the same time, and calculates a relative distance between the fault point and the reference point according to the frequency early warning signal and the waveform early warning signal.
According to the above preferred embodiment, the present patent application further discloses a first variant of the power consumption equipment fault diagnosis method, which is basically the same as the preferred embodiment except that, on the basis of the preferred embodiment, both ends of the first conductor 12 of the first access terminal 10 are simultaneously connected to the input terminal of the control module 100. In other words, in the first variant embodiment, the first and second conductors 12, 22 of the first and second access terminals 10,20 are accessed to the first and second input terminals (not shown in the figures) of the control module 100 independently of each other. The frequency analysis unit 110 and the waveform analysis unit 120 simultaneously obtain the power signals of the live wire and the neutral wire of the power grid from the first and the second input ends, and the frequency analysis unit 110 and the waveform analysis unit 120 simultaneously analyze and output the frequency signal and the waveform signal independently from each other according to the power signals.
It is worth mentioning that according to the above preferred embodiment and the first modified embodiment, the object analyzed and processed by the control module in the power equipment fault diagnosis method disclosed in the present patent application is an (abnormal) power signal. The source of the (abnormal) power signal and the corresponding diagnostic mode will now be explained as follows. One of the sources of the (abnormal) power signal may be caused by a fault of the power consuming equipment in the power grid (e.g. power line grounding and high frequency discharge), and the corresponding diagnosis mode is a passive diagnosis mode. Secondly, another source of the (abnormal) electrical energy signal can actively send out a detection signal by a control module which is connected into the power grid through the access end, and the detection signal is loaded into the power grid loop. In the event of a faulty load on the detection signal, a characteristic signal can be generated accordingly. At this time, the corresponding diagnosis mode is an active diagnosis mode, and the control module only needs to judge whether the corresponding characteristic signal appears.
It will be apparent to those skilled in the art that modifications and equivalents may be made in the embodiments and/or portions thereof without departing from the spirit and scope of the present invention.
Claims (8)
1. A power consumption equipment fault diagnosis system is characterized by comprising a first access end, a second access end and a control module, wherein:
the first access end is coupled with a live wire of a power grid, and the second access end is coupled with a zero line of the power grid;
the input end of the control module is connected with the second access end;
the control module comprises a frequency analysis unit and a waveform analysis unit, the frequency analysis unit and the waveform analysis unit simultaneously acquire electric energy signals of a power grid from an input end, and the frequency analysis unit and the waveform analysis unit simultaneously analyze and output the frequency signals and the waveform signals independently from each other according to the electric energy signals;
the control module simultaneously acquires a frequency early warning signal and a waveform early warning signal, and calculates the relative distance between a fault point and a reference point according to the frequency early warning signal and the waveform early warning signal;
the control module which is connected into the power grid through the second access end actively sends out a detection signal, the detection signal is loaded into a power grid loop, once the detection signal meets the power utilization equipment with a fault, the detection signal can correspondingly generate a characteristic signal, and the control module judges whether the corresponding characteristic signal appears or not so as to finish diagnosis;
the frequency analysis unit is preset with a standard frequency signal, compares the frequency signal with the preset standard frequency signal in real time, is preset with a deviation amplitude threshold value of the frequency signal, judges the deviation amplitude between the frequency signal output by the frequency analysis unit and the preset standard frequency signal in real time, and simultaneously outputs a frequency early warning signal when the deviation amplitude of the frequency signal is equal to or higher than the preset deviation amplitude threshold value;
the waveform analysis unit is preset with a standard waveform signal, compares the waveform signal with the preset standard waveform signal in real time, presets the deviation amplitude of the waveform signal, judges the deviation amplitude between the waveform signal output by the waveform analysis unit and the preset standard waveform signal in real time, and simultaneously outputs a waveform early warning signal when the deviation amplitude of the waveform signal is equal to or higher than a preset deviation amplitude threshold value.
2. The electrical equipment fault diagnosis system according to claim 1, wherein the first access end comprises a first magnetic core and a first wire wound around the first magnetic core, the live wire of the electrical network passes through the first magnetic core, the second access end comprises a second magnetic core and a second wire wound around the second magnetic core, the neutral wire of the electrical network passes through the second magnetic core, and two ends of the second wire are simultaneously connected to the input end of the control module.
3. A fault diagnosis method for electric equipment is characterized by comprising the following steps:
step S1: the first access end is coupled with a live wire of a power grid, and the second access end is coupled with a zero line of the power grid;
step S2: the input end of the control module is connected with the second access end;
step S3: the frequency analysis unit and the waveform analysis unit of the control module simultaneously acquire an electric energy signal of a power grid from an input end;
step S4: the frequency analysis unit and the waveform analysis unit simultaneously analyze and output frequency signals and waveform signals independently according to the electric energy signals;
the control module simultaneously acquires a frequency early warning signal and a waveform early warning signal, and calculates the relative distance between a fault point and a reference point according to the frequency early warning signal and the waveform early warning signal;
the control module which is connected into the power grid through the second access end actively sends out a detection signal, the detection signal is loaded into the power grid loop, once the detection signal meets the electric equipment with faults, the characteristic signal can be correspondingly generated, and the control module judges whether the corresponding characteristic signal appears or not to finish diagnosis.
4. The electrical equipment fault diagnosis method according to claim 3, further comprising a step S5, wherein the step S5 is located after the step S4:
step S5: the frequency analysis unit is preset with a standard frequency signal, and compares the frequency signal with the preset standard frequency signal in real time.
5. The electrical equipment fault diagnosis method according to claim 4, wherein the step S5 further comprises a step S5.1 and a step S5.2:
step S5.1: the frequency analysis unit is preset with a deviation amplitude threshold value of the frequency signal, and judges the deviation amplitude between the frequency signal output by the frequency analysis unit and a preset standard frequency signal in real time;
step S5.2: and when the deviation amplitude of the frequency signal is equal to or higher than a preset deviation amplitude threshold value, the frequency analysis unit simultaneously outputs a frequency early warning signal.
6. The electrical equipment fault diagnosis method according to claim 5, further comprising a step S6, wherein the step S6 is located after the step S5:
step S6: the waveform analysis unit is preset with a standard waveform signal, and compares the waveform signal with the preset standard waveform signal in real time.
7. The electrical equipment fault diagnosis method according to claim 6, wherein the step S6 further includes a step S6.1 and a step S6.2:
step S6.1: the waveform analysis unit is preset with deviation amplitude presetting of a waveform signal, and judges the deviation amplitude between the waveform signal output by the waveform analysis unit and a preset standard waveform signal in real time;
step S6.2: and when the deviation amplitude of the waveform signal is equal to or higher than a preset deviation amplitude threshold value, the waveform analysis unit simultaneously outputs a waveform early warning signal.
8. The electrical equipment fault diagnosis method according to claim 3, characterized in that:
in step S1, the first input end includes a first magnetic core and a first conductive wire wound around the first magnetic core, and the live wire of the power grid penetrates through the first magnetic core;
in step S1, the second input end includes a second magnetic core and a second conductive wire wound around the second magnetic core, the zero line of the power grid runs through the second magnetic core, and two ends of the second conductive wire are simultaneously connected to the input end of the control module.
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